A retrospective study was conducted at four hospitals around China, in which the study population composed of patients who completed lumbar-spine MRI examination between January 1, 2019 and March 30, 2021. Further screening was conducted to exclude IVD herniation, lumbar spondylolisthesis, spine tumors...
Tc-99m-labeled somatostatin receptor-binding peptide imaging for a pulmonary nodule. A 76-year-old man with chronic obstructive pulmonary disease and a smoking history had a 2-cm solitary pulmonary nodule that was likely to be malignant. He... RS Morehead,WJ Shih - 《Clinical Nuclear Medicine...
340 anatomical structures of the hip region were labeled, accessible on "Anatomical parts": General anatomy: the different anatomical areas of the gluteal region: groin, inguinal region and the anterior and posterior regions of the hip and thigh Bones: the femur, the hip bone (subdivided into ...
The book shows readers how to recognize normal anatomic structures on MRI scans...and how to distinguish these structures from artifacts.Each page presents a high-resolution image, with anatomic landmarks clearly labeled. Directly above the image are a key to the labels and a thumbnail ...
Datasets of subjects and corresponding segmentation masks are labeled with the same subject ID (1 to 54). Masks were labeled as L1 to L5 or muscle group (right erector spinae muscle, left erector spinae muscle, right psoas muscle, and left psoas muscle, respectively). Subject characteristics (...
FIG. 2 is a block diagram of an entire system 201 according to one embodiment of the present invention, wherein variable electrical components of circuits 93A and/or 93B (particularly those in the portion labeled 93A in a remote environment 202) are controlled to values set by controller 245...
FIG. 13a is a midline sagittal image through the skull and entire spine of a patient auto-generated from a volumetric CT data set with correctly labeled vertebrae using the Automated Spine Survey Iterative Scan Technique (ASSIST) algorithm described herein in the context of MRI spine images in ...
This study aimed to develop an MRI鈥恇ased decision support system for LDH, which evaluates lumbar discs in a reproducible, consistent, and reliable manner. Methods: The research team proposed a system based on machine learning that was trained and tested by a large, manually labeled...
syndrome (FBSS) by comparing the performance of fluorine–18–labeled fluorodeoxyglucose ( 18 F-FDG) PET/MRI with conventional MRI.We retrospectively analyzed data from patients with FBSS who underwent 18 F-FDG PET and MRI of the lumbar vertebrae and lower extremities for undetermined sources of ...
It is detected by analyzing the area of the anteroposterior diameter of the patient's lumbar spine. Currently, the versatility and accuracy of LSS segmentation algorithms are limited. The objective of this research is to use magnetic resonance imaging (MRI) to automatically categorize LSS. This ...